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GPU-based interactive near-regular texture synthesis for digital human models.

Zhe Shen1,2, Chao Wu3, Bin Ding1,2

  • 1Northeastern University, Shenyang, Liaoning, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|June 7, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel parallel, interactive method for synthesizing near-regular textures in 3D human models, overcoming limitations of traditional single-result approaches for improved visual realism.

Keywords:
3D human modelInteractive methodnear-regular textureparallel computingtexture synthesis

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Area of Science:

  • Computer Graphics
  • Image Synthesis
  • 3D Modeling

Background:

  • Near-regular textures are prevalent in natural scenes and 3D human models.
  • Existing texture synthesis methods often yield a single, limited output.
  • The need for advanced texture synthesis for realistic 3D human representations is growing.

Purpose of the Study:

  • To propose a parallel and interactive method for texture synthesis of irregular appearances in 3D human models.
  • To enhance the quality and interactivity of texture generation for 3D models.
  • To address the limitations of traditional single-result texture synthesis.

Main Methods:

  • Developed a two-stage process: iterative edge extraction and processing, followed by parallel texture synthesis.
  • Implemented an interactive framework allowing user control during synthesis.
  • Focused on algorithms for near-regular texture generation.

Main Results:

  • The proposed method successfully generates high-quality textures for 3D human models.
  • Demonstrated the effectiveness of the near-regular texture synthesis algorithm through experiments.
  • Achieved enhanced visual realism and interactivity in texture synthesis.

Conclusions:

  • The new parallel and interactive method significantly improves texture synthesis for 3D human models.
  • The approach is effective for handling near-regular textures with irregular appearances.
  • This research contributes to more realistic and controllable 3D model texturing.